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Recente publicaties

  1. Revealing Individual Neuroanatomical Heterogeneity in Alzheimer Disea…

    Verdi, S., Kia, S. M., Yong, K. X. X., Tosun, D., Schott, J. M., Marquand, A. F., & Cole, J. H. (2023). Revealing Individual Neuroanatomical Heterogeneity in Alzheimer Disease Using Neuroanatomical Normative Modeling. Neurology, 1-27.
  2. Proceedings of international workshop on machine learning for clinica…

    Abdulkadir, A., Bathula, D. R., Dvornek, N. C., Habes, M., Kia, S. M., Kumar, V., & Wolfers, T. (2022). Proceedings of international workshop on machine learning for clinical neuroimaging 2022. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13596 LNCS, v-vi.
  3. Accommodating site variation in neuroimaging data using normative and…

    Bayer, J. M. M., Dinga, R., Kia, S. M., Kottaram, A. R., Wolfers, T., Lv, J., Zalesky, A., Schmaal, L., & Marquand, A. (2022). Accommodating site variation in neuroimaging data using normative and hierarchical Bayesian models. Neuroimage, 264, 119699. [119699].
  4. Age-related brain deviations and aggression

    Holz, N. E., Floris, D. L., Llera, A., Aggensteiner, P. M., Kia, S. M., Wolfers, T., Baumeister, S., Böttinger, B., Glennon, J. C., Hoekstra, P. J., Dietrich, A., Saam, M. C., Schulze, U. M. E., Lythgoe, D. J., Williams, S. C. R., Santosh, P., Rosa-Justicia, M., Bargallo, N., Castro-Fornieles, J., ... Marquand, A. F. (2022). Age-related brain deviations and aggression. Psychological Medicine, 1-10. [003329172200068].
  5. Closing the life-cycle of normative modeling using federated hierarch…

    Kia, S. M., Huijsdens, H., Rutherford, S., de Boer, A., Dinga, R., Wolfers, T., Berthet, P., Mennes, M., Andreassen, O. A., Westlye, L. T., Beckmann, C. F., & Marquand, A. F. (2022). Closing the life-cycle of normative modeling using federated hierarchical Bayesian regression. PLOS ONE, 17(12 ), 1-29. [e0278776].

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